Comparing Train and Test

Dataset statistics

	Train	Test
Number of variables	22	20
Number of observations	8101	2026
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	0
Duplicate rows (%)	0.0%	0.0%
Total size in memory	1.4 MiB	316.7 KiB
Average record size in memory	176.0 B	160.1 B

Variable types

	Train	Test
Numeric	16	15
Categorical	6	5

Alerts

Train	Test
`Customer_Age` is highly overall correlated with `Months_on_book`	`Customer_Age` is highly overall correlated with `Months_on_book`	High Correlation
`Months_on_book` is highly overall correlated with `Customer_Age`	`Months_on_book` is highly overall correlated with `Customer_Age`	High Correlation
`Credit_Limit` is highly overall correlated with `Avg_Open_To_Buy`	`Credit_Limit` is highly overall correlated with `Avg_Open_To_Buy`	High Correlation
`Total_Revolving_Bal` is highly overall correlated with `Avg_Utilization_Ratio`	`Total_Revolving_Bal` is highly overall correlated with `Avg_Utilization_Ratio`	High Correlation
`Avg_Open_To_Buy` is highly overall correlated with `Credit_Limit` and 1 other fields	`Avg_Open_To_Buy` is highly overall correlated with `Credit_Limit` and 1 other fields	High Correlation
`Total_Trans_Amt` is highly overall correlated with `Total_Trans_Ct`	`Total_Trans_Amt` is highly overall correlated with `Total_Trans_Ct`	High Correlation
`Total_Trans_Ct` is highly overall correlated with `Total_Trans_Amt`	`Total_Trans_Ct` is highly overall correlated with `Total_Trans_Amt`	High Correlation
`Avg_Utilization_Ratio` is highly overall correlated with `Total_Revolving_Bal` and 1 other fields	`Avg_Utilization_Ratio` is highly overall correlated with `Total_Revolving_Bal` and 1 other fields	High Correlation
`Gender` is highly overall correlated with `Income_Category`	`Gender` is highly overall correlated with `Income_Category`	High Correlation
`Income_Category` is highly overall correlated with `Gender`	`Income_Category` is highly overall correlated with `Gender`	High Correlation
`Card_Category` is highly imbalanced (79.4%)	`Card_Category` is highly imbalanced (78.2%)	Imbalance
`train_idx` is uniformly distributed	Alert not present in	Uniform
`train_idx` has unique values	Alert not present in	Unique
`CLIENTNUM` has unique values	`CLIENTNUM` has unique values	Unique
`Dependent_count` has 725 (8.9%) zeros	`Dependent_count` has 179 (8.8%) zeros	Zeros
`Contacts_Count_12_mon` has 312 (3.9%) zeros	`Contacts_Count_12_mon` has 87 (4.3%) zeros	Zeros
`Total_Revolving_Bal` has 1986 (24.5%) zeros	`Total_Revolving_Bal` has 484 (23.9%) zeros	Zeros
`Avg_Utilization_Ratio` has 1986 (24.5%) zeros	`Avg_Utilization_Ratio` has 484 (23.9%) zeros	Zeros

Reproduction

	Train	Test
Analysis started	2023-04-12 09:58:25.315830	2023-04-12 09:59:06.356486
Analysis finished	2023-04-12 09:59:06.345521	2023-04-12 09:59:43.584603
Duration	41.03 seconds	37.23 seconds
Software version	ydata-profiling vv4.1.2	ydata-profiling vv4.1.2
Download configuration	config.json	config.json

train_idx
Real number (ℝ)

Distinct	8101
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4050

Minimum	0
Maximum	8100
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	63.4 KiB

Quantile statistics

Minimum	0
5-th percentile	405
Q1	2025
median	4050
Q3	6075
95-th percentile	7695
Maximum	8100
Range	8100
Interquartile range (IQR)	4050

Descriptive statistics

Standard deviation	2338.7016
Coefficient of variation (CV)	0.57745718
Kurtosis	-1.2
Mean	4050
Median Absolute Deviation (MAD)	2025
Skewness	0
Sum	32809050
Variance	5469525.2
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
5396	1	< 0.1%
5409	1	< 0.1%
5408	1	< 0.1%
5407	1	< 0.1%
5406	1	< 0.1%
5405	1	< 0.1%
5404	1	< 0.1%
5403	1	< 0.1%
5402	1	< 0.1%
Other values (8091)	8091	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
8100	1	< 0.1%
8099	1	< 0.1%
8098	1	< 0.1%
8097	1	< 0.1%
8096	1	< 0.1%
8095	1	< 0.1%
8094	1	< 0.1%
8093	1	< 0.1%
8092	1	< 0.1%
8091	1	< 0.1%

CLIENTNUM
Real number (ℝ)

	Train	Test
Distinct	8101	2026
Distinct (%)	100.0%	100.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	7.3913295 × 10⁸	7.3935618 × 10⁸

	Train	Test
Minimum	7.0808208 × 10⁸	7.0809513 × 10⁸
Maximum	8.2834308 × 10⁸	8.2829186 × 10⁸
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	7.0808208 × 10⁸	7.0809513 × 10⁸
5-th percentile	7.0910126 × 10⁸	7.0919846 × 10⁸
Q1	7.1305338 × 10⁸	7.1298125 × 10⁸
median	7.1788601 × 10⁸	7.180845 × 10⁸
Q3	7.7284638 × 10⁸	7.750037 × 10⁸
95-th percentile	8.1397128 × 10⁸	8.1460635 × 10⁸
Maximum	8.2834308 × 10⁸	8.2829186 × 10⁸
Range	1.20261 × 10⁸	1.2019672 × 10⁸
Interquartile range (IQR)	59793000	62022450

Descriptive statistics

	Train	Test
Standard deviation	36919116	36850975
Coefficient of variation (CV)	0.049949222	0.049841979
Kurtosis	-0.60777433	-0.64543035
Mean	7.3913295 × 10⁸	7.3935618 × 10⁸
Median Absolute Deviation (MAD)	6292200	6597337.5
Skewness	1.0005322	0.97658867
Sum	5.987716 × 10¹²	1.4979356 × 10¹²
Variance	1.3630211 × 10¹⁵	1.3579944 × 10¹⁵
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
713071383	1	< 0.1%
759947433	1	< 0.1%
709841433	1	< 0.1%
789483333	1	< 0.1%
785328408	1	< 0.1%
805534608	1	< 0.1%
709005633	1	< 0.1%
718246458	1	< 0.1%
789917208	1	< 0.1%
778377183	1	< 0.1%
Other values (8091)	8091	99.9%

Value	Count	Frequency (%)
719455083	1	< 0.1%
720539583	1	< 0.1%
721445658	1	< 0.1%
713956308	1	< 0.1%
716385033	1	< 0.1%
779642733	1	< 0.1%
712815858	1	< 0.1%
716543433	1	< 0.1%
714121983	1	< 0.1%
708254733	1	< 0.1%
Other values (2016)	2016	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
708082083	1	< 0.1%
708083283	1	< 0.1%
708084558	1	< 0.1%
708085458	1	< 0.1%
708086958	1	< 0.1%
708098133	1	< 0.1%
708099183	1	< 0.1%
708100533	1	< 0.1%
708103608	1	< 0.1%
708104658	1	< 0.1%

Value	Count	Frequency (%)
708095133	1	< 0.1%
708112008	1	< 0.1%
708152358	1	< 0.1%
708160008	1	< 0.1%
708170508	1	< 0.1%
708173433	1	< 0.1%
708185208	1	< 0.1%
708211383	1	< 0.1%
708219858	1	< 0.1%
708222558	1	< 0.1%

Value	Count	Frequency (%)
708095133	1	< 0.1%
708112008	1	< 0.1%
708152358	1	< 0.1%
708160008	1	< 0.1%
708170508	1	< 0.1%
708173433	1	< 0.1%
708185208	1	< 0.1%
708211383	1	< 0.1%
708219858	1	< 0.1%
708222558	1	< 0.1%

Value	Count	Frequency (%)
708082083	1	< 0.1%
708083283	1	< 0.1%
708084558	1	< 0.1%
708085458	1	< 0.1%
708086958	1	< 0.1%
708098133	1	< 0.1%
708099183	1	< 0.1%
708100533	1	< 0.1%
708103608	1	< 0.1%
708104658	1	< 0.1%

Customer_Age
Real number (ℝ)

	Train	Test
Distinct	44	43
Distinct (%)	0.5%	2.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	46.306382	46.404245

	Train	Test
Minimum	26	26
Maximum	70	73
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	26	26
5-th percentile	33	33
Q1	41	41
median	46	46
Q3	52	52
95-th percentile	60	60
Maximum	70	73
Range	44	47
Interquartile range (IQR)	11	11

Descriptive statistics

	Train	Test
Standard deviation	8.0225266	7.9954284
Coefficient of variation (CV)	0.17324883	0.17229951
Kurtosis	-0.31128146	-0.19649916
Mean	46.306382	46.404245
Median Absolute Deviation (MAD)	6	5
Skewness	-0.043812536	0.0078513946
Sum	375128	94015
Variance	64.360933	63.926876
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
46	397	4.9%
49	395	4.9%
45	390	4.8%
44	386	4.8%
47	378	4.7%
48	372	4.6%
43	371	4.6%
50	367	4.5%
42	326	4.0%
51	325	4.0%
Other values (34)	4394	54.2%

Value	Count	Frequency (%)
44	114	5.6%
43	102	5.0%
47	101	5.0%
48	100	4.9%
49	100	4.9%
42	100	4.9%
45	96	4.7%
46	93	4.6%
53	86	4.2%
50	85	4.2%
Other values (33)	1049	51.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26	63	0.8%
27	22	0.3%
28	24	0.3%
29	50	0.6%
30	53	0.7%
31	78	1.0%
32	90	1.1%
33	98	1.2%
34	126	1.6%
35	143	1.8%

Value	Count	Frequency (%)
26	15	0.7%
27	10	0.5%
28	5	0.2%
29	6	0.3%
30	17	0.8%
31	13	0.6%
32	16	0.8%
33	29	1.4%
34	20	1.0%
35	41	2.0%

Value	Count	Frequency (%)
26	15	0.2%
27	10	0.1%
28	5	0.1%
29	6	0.1%
30	17	0.2%
31	13	0.2%
32	16	0.2%
33	29	0.4%
34	20	0.2%
35	41	0.5%

Value	Count	Frequency (%)
26	63	3.1%
27	22	1.1%
28	24	1.2%
29	50	2.5%
30	53	2.6%
31	78	3.8%
32	90	4.4%
33	98	4.8%
34	126	6.2%
35	143	7.1%

Gender
Categorical

	Train	Test
Distinct	2	2
Distinct (%)	< 0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

F	4279
M	3822

F	1079
M	947

Length

	Train	Test
Max length	1	1
Median length	1	1
Mean length	1	1
Min length	1	1

Characters and Unicode

	Train	Test
Total characters	8101	2026
Distinct characters	2	2
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Train	Test
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Train	Test
1st row	F	F
2nd row	F	M
3rd row	F	F
4th row	F	M
5th row	F	M

Common Values

Value	Count	Frequency (%)
F	4279	52.8%
M	3822	47.2%

Value	Count	Frequency (%)
F	1079	53.3%
M	947	46.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Train

Test

Value	Count	Frequency (%)
f	4279	52.8%
m	3822	47.2%

Value	Count	Frequency (%)
f	1079	53.3%
m	947	46.7%

Most occurring characters

Value	Count	Frequency (%)
F	4279	52.8%
M	3822	47.2%

Value	Count	Frequency (%)
F	1079	53.3%
M	947	46.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	8101	100.0%

Value	Count	Frequency (%)
Uppercase Letter	2026	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	4279	52.8%
M	3822	47.2%

Value	Count	Frequency (%)
F	1079	53.3%
M	947	46.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8101	100.0%

Value	Count	Frequency (%)
Latin	2026	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	4279	52.8%
M	3822	47.2%

Value	Count	Frequency (%)
F	1079	53.3%
M	947	46.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8101	100.0%

Value	Count	Frequency (%)
ASCII	2026	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	4279	52.8%
M	3822	47.2%

Value	Count	Frequency (%)
F	1079	53.3%
M	947	46.7%

Dependent_count
Real number (ℝ)

	Train	Test
Distinct	6	6
Distinct (%)	0.1%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	2.3347735	2.3919052

	Train	Test
Minimum	0	0
Maximum	5	5
Zeros	725	179
Zeros (%)	8.9%	8.8%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	0	0
5-th percentile	0	0
Q1	1	1
median	2	2
Q3	3	3
95-th percentile	4	4
Maximum	5	5
Range	5	5
Interquartile range (IQR)	2	2

Descriptive statistics

	Train	Test
Standard deviation	1.2895637	1.334967
Coefficient of variation (CV)	0.55232927	0.55811869
Kurtosis	-0.65676736	-0.78223964
Mean	2.3347735	2.3919052
Median Absolute Deviation (MAD)	1	1
Skewness	-0.020167501	-0.030107582
Sum	18914	4846
Variance	1.6629746	1.7821369
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	2222	27.4%
2	2150	26.5%
1	1465	18.1%
4	1212	15.0%
0	725	8.9%
5	327	4.0%

Value	Count	Frequency (%)
3	510	25.2%
2	505	24.9%
1	373	18.4%
4	362	17.9%
0	179	8.8%
5	97	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	725	8.9%
1	1465	18.1%
2	2150	26.5%
3	2222	27.4%
4	1212	15.0%
5	327	4.0%

Value	Count	Frequency (%)
0	179	8.8%
1	373	18.4%
2	505	24.9%
3	510	25.2%
4	362	17.9%
5	97	4.8%

Value	Count	Frequency (%)
0	179	2.2%
1	373	4.6%
2	505	6.2%
3	510	6.3%
4	362	4.5%
5	97	1.2%

Value	Count	Frequency (%)
0	725	35.8%
1	1465	72.3%
2	2150	106.1%
3	2222	109.7%
4	1212	59.8%
5	327	16.1%

Education_Level
Categorical

	Train	Test
Distinct	7	7
Distinct (%)	0.1%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Graduate	2528
High School	1619
Unknown	1205
Uneducated	1171
College	816
Other values (2)	762

Graduate	600
High School	394
Uneducated	316
Unknown	314
College	197
Other values (2)	205

Length

	Train	Test
Max length	13	13
Median length	11	11
Mean length	8.9342057	8.9595262
Min length	7	7

Characters and Unicode

	Train	Test
Total characters	72376	18152
Distinct characters	25	25
Distinct categories	4	4 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Train	Test
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Train	Test
1st row	Unknown	Uneducated
2nd row	High School	Uneducated
3rd row	Unknown	Graduate
4th row	Graduate	Doctorate
5th row	High School	Unknown

Common Values

Value	Count	Frequency (%)
Graduate	2528	31.2%
High School	1619	20.0%
Unknown	1205	14.9%
Uneducated	1171	14.5%
College	816	10.1%
Post-Graduate	407	5.0%
Doctorate	355	4.4%

Value	Count	Frequency (%)
Graduate	600	29.6%
High School	394	19.4%
Uneducated	316	15.6%
Unknown	314	15.5%
College	197	9.7%
Post-Graduate	109	5.4%
Doctorate	96	4.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Train

Test

Value	Count	Frequency (%)
graduate	2528	26.0%
high	1619	16.7%
school	1619	16.7%
unknown	1205	12.4%
uneducated	1171	12.0%
college	816	8.4%
post-graduate	407	4.2%
doctorate	355	3.7%

Value	Count	Frequency (%)
graduate	600	24.8%
high	394	16.3%
school	394	16.3%
uneducated	316	13.1%
unknown	314	13.0%
college	197	8.1%
post-graduate	109	4.5%
doctorate	96	4.0%

Most occurring characters

Value	Count	Frequency (%)
a	7396	10.2%
e	7264	10.0%
o	6376	8.8%
d	5277	7.3%
t	5223	7.2%
n	4786	6.6%
u	4106	5.7%
r	3290	4.5%
l	3251	4.5%
h	3238	4.5%
Other values (15)	22169	30.6%

Value	Count	Frequency (%)
e	1831	10.1%
a	1830	10.1%
o	1600	8.8%
d	1341	7.4%
t	1326	7.3%
n	1258	6.9%
u	1025	5.6%
c	806	4.4%
r	805	4.4%
h	788	4.3%
Other values (15)	5542	30.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	60223	83.2%
Uppercase Letter	10127	14.0%
Space Separator	1619	2.2%
Dash Punctuation	407	0.6%

Value	Count	Frequency (%)
Lowercase Letter	15120	83.3%
Uppercase Letter	2529	13.9%
Space Separator	394	2.2%
Dash Punctuation	109	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7396	12.3%
e	7264	12.1%
o	6376	10.6%
d	5277	8.8%
t	5223	8.7%
n	4786	7.9%
u	4106	6.8%
r	3290	5.5%
l	3251	5.4%
h	3238	5.4%
Other values (6)	10016	16.6%

Value	Count	Frequency (%)
e	1831	12.1%
a	1830	12.1%
o	1600	10.6%
d	1341	8.9%
t	1326	8.8%
n	1258	8.3%
u	1025	6.8%
c	806	5.3%
r	805	5.3%
h	788	5.2%
Other values (6)	2510	16.6%

Uppercase Letter

Value	Count	Frequency (%)
G	2935	29.0%
U	2376	23.5%
S	1619	16.0%
H	1619	16.0%
C	816	8.1%
P	407	4.0%
D	355	3.5%

Value	Count	Frequency (%)
G	709	28.0%
U	630	24.9%
S	394	15.6%
H	394	15.6%
C	197	7.8%
P	109	4.3%
D	96	3.8%

Space Separator

Value	Count	Frequency (%)
	1619	100.0%

Value	Count	Frequency (%)
	394	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	407	100.0%

Value	Count	Frequency (%)
-	109	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	70350	97.2%
Common	2026	2.8%

Value	Count	Frequency (%)
Latin	17649	97.2%
Common	503	2.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	7396	10.5%
e	7264	10.3%
o	6376	9.1%
d	5277	7.5%
t	5223	7.4%
n	4786	6.8%
u	4106	5.8%
r	3290	4.7%
l	3251	4.6%
h	3238	4.6%
Other values (13)	20143	28.6%

Value	Count	Frequency (%)
e	1831	10.4%
a	1830	10.4%
o	1600	9.1%
d	1341	7.6%
t	1326	7.5%
n	1258	7.1%
u	1025	5.8%
c	806	4.6%
r	805	4.6%
h	788	4.5%
Other values (13)	5039	28.6%

Common

Value	Count	Frequency (%)
	1619	79.9%
-	407	20.1%

Value	Count	Frequency (%)
	394	78.3%
-	109	21.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72376	100.0%

Value	Count	Frequency (%)
ASCII	18152	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	7396	10.2%
e	7264	10.0%
o	6376	8.8%
d	5277	7.3%
t	5223	7.2%
n	4786	6.6%
u	4106	5.7%
r	3290	4.5%
l	3251	4.5%
h	3238	4.5%
Other values (15)	22169	30.6%

Value	Count	Frequency (%)
e	1831	10.1%
a	1830	10.1%
o	1600	8.8%
d	1341	7.4%
t	1326	7.3%
n	1258	6.9%
u	1025	5.6%
c	806	4.4%
r	805	4.4%
h	788	4.3%
Other values (15)	5542	30.5%

Marital_Status
Categorical

	Train	Test
Distinct	4	4
Distinct (%)	< 0.1%	0.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Married	3767
Single	3144
Divorced	611
Unknown	579

Married	920
Single	799
Unknown	170
Divorced	137

Length

	Train	Test
Max length	8	8
Median length	7	7
Mean length	6.6873226	6.6732478
Min length	6	6

Characters and Unicode

	Train	Test
Total characters	54174	13520
Distinct characters	17	17
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Train	Test
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Train	Test
1st row	Single	Single
2nd row	Married	Single
3rd row	Single	Divorced
4th row	Single	Divorced
5th row	Married	Single

Common Values

Value	Count	Frequency (%)
Married	3767	46.5%
Single	3144	38.8%
Divorced	611	7.5%
Unknown	579	7.1%

Value	Count	Frequency (%)
Married	920	45.4%
Single	799	39.4%
Unknown	170	8.4%
Divorced	137	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Train

Test

Value	Count	Frequency (%)
married	3767	46.5%
single	3144	38.8%
divorced	611	7.5%
unknown	579	7.1%

Value	Count	Frequency (%)
married	920	45.4%
single	799	39.4%
unknown	170	8.4%
divorced	137	6.8%

Most occurring characters

Value	Count	Frequency (%)
r	8145	15.0%
i	7522	13.9%
e	7522	13.9%
n	4881	9.0%
d	4378	8.1%
M	3767	7.0%
a	3767	7.0%
l	3144	5.8%
g	3144	5.8%
S	3144	5.8%
Other values (7)	4760	8.8%

Value	Count	Frequency (%)
r	1977	14.6%
i	1856	13.7%
e	1856	13.7%
n	1309	9.7%
d	1057	7.8%
M	920	6.8%
a	920	6.8%
l	799	5.9%
g	799	5.9%
S	799	5.9%
Other values (7)	1228	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46073	85.0%
Uppercase Letter	8101	15.0%

Value	Count	Frequency (%)
Lowercase Letter	11494	85.0%
Uppercase Letter	2026	15.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	8145	17.7%
i	7522	16.3%
e	7522	16.3%
n	4881	10.6%
d	4378	9.5%
a	3767	8.2%
l	3144	6.8%
g	3144	6.8%
o	1190	2.6%
v	611	1.3%
Other values (3)	1769	3.8%

Value	Count	Frequency (%)
r	1977	17.2%
i	1856	16.1%
e	1856	16.1%
n	1309	11.4%
d	1057	9.2%
a	920	8.0%
l	799	7.0%
g	799	7.0%
o	307	2.7%
k	170	1.5%
Other values (3)	444	3.9%

Uppercase Letter

Value	Count	Frequency (%)
M	3767	46.5%
S	3144	38.8%
D	611	7.5%
U	579	7.1%

Value	Count	Frequency (%)
M	920	45.4%
S	799	39.4%
U	170	8.4%
D	137	6.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	54174	100.0%

Value	Count	Frequency (%)
Latin	13520	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	8145	15.0%
i	7522	13.9%
e	7522	13.9%
n	4881	9.0%
d	4378	8.1%
M	3767	7.0%
a	3767	7.0%
l	3144	5.8%
g	3144	5.8%
S	3144	5.8%
Other values (7)	4760	8.8%

Value	Count	Frequency (%)
r	1977	14.6%
i	1856	13.7%
e	1856	13.7%
n	1309	9.7%
d	1057	7.8%
M	920	6.8%
a	920	6.8%
l	799	5.9%
g	799	5.9%
S	799	5.9%
Other values (7)	1228	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54174	100.0%

Value	Count	Frequency (%)
ASCII	13520	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	8145	15.0%
i	7522	13.9%
e	7522	13.9%
n	4881	9.0%
d	4378	8.1%
M	3767	7.0%
a	3767	7.0%
l	3144	5.8%
g	3144	5.8%
S	3144	5.8%
Other values (7)	4760	8.8%

Value	Count	Frequency (%)
r	1977	14.6%
i	1856	13.7%
e	1856	13.7%
n	1309	9.7%
d	1057	7.8%
M	920	6.8%
a	920	6.8%
l	799	5.9%
g	799	5.9%
S	799	5.9%
Other values (7)	1228	9.1%

Income_Category
Categorical

	Train	Test
Distinct	6	6
Distinct (%)	0.1%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Less than $40K	2812
$40K - $60K	1453
$80K - $120K	1237
$60K - $80K	1122
Unknown	889

Less than $40K	749
$40K - $60K	337
$80K - $120K	298
$60K - $80K	280
Unknown	223

Length

	Train	Test
Max length	14	14
Median length	12	12
Mean length	11.464757	11.541461
Min length	7	7

Characters and Unicode

	Train	Test
Total characters	92876	23383
Distinct characters	22	22
Distinct categories	7	7 ?
Distinct scripts	2	2 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Train	Test
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Train	Test
1st row	Unknown	Less than $40K
2nd row	Unknown	Less than $40K
3rd row	Less than $40K	Less than $40K
4th row	Less than $40K	$40K - $60K
5th row	$40K - $60K	$80K - $120K

Common Values

Value	Count	Frequency (%)
Less than $40K	2812	34.7%
$40K - $60K	1453	17.9%
$80K - $120K	1237	15.3%
$60K - $80K	1122	13.9%
Unknown	889	11.0%
$120K +	588	7.3%

Value	Count	Frequency (%)
Less than $40K	749	37.0%
$40K - $60K	337	16.6%
$80K - $120K	298	14.7%
$60K - $80K	280	13.8%
Unknown	223	11.0%
$120K +	139	6.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Train

Test

Value	Count	Frequency (%)
	4400	20.1%
40k	4265	19.4%
less	2812	12.8%
than	2812	12.8%
60k	2575	11.7%
80k	2359	10.8%
120k	1825	8.3%
unknown	889	4.1%

Value	Count	Frequency (%)
40k	1086	19.8%
	1054	19.2%
less	749	13.6%
than	749	13.6%
60k	617	11.2%
80k	578	10.5%
120k	437	8.0%
unknown	223	4.1%

Most occurring characters

Value	Count	Frequency (%)
	13836	14.9%
K	11024	11.9%
0	11024	11.9%
$	11024	11.9%
s	5624	6.1%
n	5479	5.9%
4	4265	4.6%
-	3812	4.1%
e	2812	3.0%
L	2812	3.0%
Other values (12)	21164	22.8%

Value	Count	Frequency (%)
	3467	14.8%
K	2718	11.6%
0	2718	11.6%
$	2718	11.6%
s	1498	6.4%
n	1418	6.1%
4	1086	4.6%
-	915	3.9%
e	749	3.2%
L	749	3.2%
Other values (12)	5347	22.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25018	26.9%
Decimal Number	23873	25.7%
Uppercase Letter	14725	15.9%
Space Separator	13836	14.9%
Currency Symbol	11024	11.9%
Dash Punctuation	3812	4.1%
Math Symbol	588	0.6%

Value	Count	Frequency (%)
Lowercase Letter	6581	28.1%
Decimal Number	5873	25.1%
Uppercase Letter	3690	15.8%
Space Separator	3467	14.8%
Currency Symbol	2718	11.6%
Dash Punctuation	915	3.9%
Math Symbol	139	0.6%

Most frequent character per category

Space Separator

Value	Count	Frequency (%)
	13836	100.0%

Value	Count	Frequency (%)
	3467	100.0%

Uppercase Letter

Value	Count	Frequency (%)
K	11024	74.9%
L	2812	19.1%
U	889	6.0%

Value	Count	Frequency (%)
K	2718	73.7%
L	749	20.3%
U	223	6.0%

Decimal Number

Value	Count	Frequency (%)
0	11024	46.2%
4	4265	17.9%
6	2575	10.8%
8	2359	9.9%
1	1825	7.6%
2	1825	7.6%

Value	Count	Frequency (%)
0	2718	46.3%
4	1086	18.5%
6	617	10.5%
8	578	9.8%
1	437	7.4%
2	437	7.4%

Currency Symbol

Value	Count	Frequency (%)
$	11024	100.0%

Value	Count	Frequency (%)
$	2718	100.0%

Lowercase Letter

Value	Count	Frequency (%)
s	5624	22.5%
n	5479	21.9%
e	2812	11.2%
a	2812	11.2%
h	2812	11.2%
t	2812	11.2%
k	889	3.6%
o	889	3.6%
w	889	3.6%

Value	Count	Frequency (%)
s	1498	22.8%
n	1418	21.5%
e	749	11.4%
a	749	11.4%
h	749	11.4%
t	749	11.4%
k	223	3.4%
o	223	3.4%
w	223	3.4%

Dash Punctuation

Value	Count	Frequency (%)
-	3812	100.0%

Value	Count	Frequency (%)
-	915	100.0%

Math Symbol

Value	Count	Frequency (%)
+	588	100.0%

Value	Count	Frequency (%)
+	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	53133	57.2%
Latin	39743	42.8%

Value	Count	Frequency (%)
Common	13112	56.1%
Latin	10271	43.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
	13836	26.0%
0	11024	20.7%
$	11024	20.7%
4	4265	8.0%
-	3812	7.2%
6	2575	4.8%
8	2359	4.4%
1	1825	3.4%
2	1825	3.4%
+	588	1.1%

Value	Count	Frequency (%)
	3467	26.4%
0	2718	20.7%
$	2718	20.7%
4	1086	8.3%
-	915	7.0%
6	617	4.7%
8	578	4.4%
1	437	3.3%
2	437	3.3%
+	139	1.1%

Latin

Value	Count	Frequency (%)
K	11024	27.7%
s	5624	14.2%
n	5479	13.8%
e	2812	7.1%
L	2812	7.1%
a	2812	7.1%
h	2812	7.1%
t	2812	7.1%
U	889	2.2%
k	889	2.2%
Other values (2)	1778	4.5%

Value	Count	Frequency (%)
K	2718	26.5%
s	1498	14.6%
n	1418	13.8%
e	749	7.3%
L	749	7.3%
a	749	7.3%
h	749	7.3%
t	749	7.3%
U	223	2.2%
k	223	2.2%
Other values (2)	446	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92876	100.0%

Value	Count	Frequency (%)
ASCII	23383	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	13836	14.9%
K	11024	11.9%
0	11024	11.9%
$	11024	11.9%
s	5624	6.1%
n	5479	5.9%
4	4265	4.6%
-	3812	4.1%
e	2812	3.0%
L	2812	3.0%
Other values (12)	21164	22.8%

Value	Count	Frequency (%)
	3467	14.8%
K	2718	11.6%
0	2718	11.6%
$	2718	11.6%
s	1498	6.4%
n	1418	6.1%
4	1086	4.6%
-	915	3.9%
e	749	3.2%
L	749	3.2%
Other values (12)	5347	22.9%

Card_Category
Categorical

	Train	Test
Distinct	4	4
Distinct (%)	< 0.1%	0.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Blue	7557
Silver	436
Gold	93
Platinum	15

Blue	1879
Silver	119
Gold	23
Platinum	5

Length

	Train	Test
Max length	8	8
Median length	4	4
Mean length	4.1150475	4.1273445
Min length	4	4

Characters and Unicode

	Train	Test
Total characters	33336	8362
Distinct characters	16	16
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Train	Test
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Train	Test
1st row	Blue	Blue
2nd row	Blue	Blue
3rd row	Gold	Blue
4th row	Blue	Blue
5th row	Blue	Blue

Common Values

Value	Count	Frequency (%)
Blue	7557	93.3%
Silver	436	5.4%
Gold	93	1.1%
Platinum	15	0.2%

Value	Count	Frequency (%)
Blue	1879	92.7%
Silver	119	5.9%
Gold	23	1.1%
Platinum	5	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Train

Test

Value	Count	Frequency (%)
blue	7557	93.3%
silver	436	5.4%
gold	93	1.1%
platinum	15	0.2%

Value	Count	Frequency (%)
blue	1879	92.7%
silver	119	5.9%
gold	23	1.1%
platinum	5	0.2%

Most occurring characters

Value	Count	Frequency (%)
l	8101	24.3%
e	7993	24.0%
u	7572	22.7%
B	7557	22.7%
i	451	1.4%
S	436	1.3%
v	436	1.3%
r	436	1.3%
G	93	0.3%
o	93	0.3%
Other values (6)	168	0.5%

Value	Count	Frequency (%)
l	2026	24.2%
e	1998	23.9%
u	1884	22.5%
B	1879	22.5%
i	124	1.5%
S	119	1.4%
v	119	1.4%
r	119	1.4%
G	23	0.3%
o	23	0.3%
Other values (6)	48	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25235	75.7%
Uppercase Letter	8101	24.3%

Value	Count	Frequency (%)
Lowercase Letter	6336	75.8%
Uppercase Letter	2026	24.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	8101	32.1%
e	7993	31.7%
u	7572	30.0%
i	451	1.8%
v	436	1.7%
r	436	1.7%
o	93	0.4%
d	93	0.4%
a	15	0.1%
t	15	0.1%
Other values (2)	30	0.1%

Value	Count	Frequency (%)
l	2026	32.0%
e	1998	31.5%
u	1884	29.7%
i	124	2.0%
v	119	1.9%
r	119	1.9%
o	23	0.4%
d	23	0.4%
a	5	0.1%
t	5	0.1%
Other values (2)	10	0.2%

Uppercase Letter

Value	Count	Frequency (%)
B	7557	93.3%
S	436	5.4%
G	93	1.1%
P	15	0.2%

Value	Count	Frequency (%)
B	1879	92.7%
S	119	5.9%
G	23	1.1%
P	5	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33336	100.0%

Value	Count	Frequency (%)
Latin	8362	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	8101	24.3%
e	7993	24.0%
u	7572	22.7%
B	7557	22.7%
i	451	1.4%
S	436	1.3%
v	436	1.3%
r	436	1.3%
G	93	0.3%
o	93	0.3%
Other values (6)	168	0.5%

Value	Count	Frequency (%)
l	2026	24.2%
e	1998	23.9%
u	1884	22.5%
B	1879	22.5%
i	124	1.5%
S	119	1.4%
v	119	1.4%
r	119	1.4%
G	23	0.3%
o	23	0.3%
Other values (6)	48	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33336	100.0%

Value	Count	Frequency (%)
ASCII	8362	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	8101	24.3%
e	7993	24.0%
u	7572	22.7%
B	7557	22.7%
i	451	1.4%
S	436	1.3%
v	436	1.3%
r	436	1.3%
G	93	0.3%
o	93	0.3%
Other values (6)	168	0.5%

Value	Count	Frequency (%)
l	2026	24.2%
e	1998	23.9%
u	1884	22.5%
B	1879	22.5%
i	124	1.5%
S	119	1.4%
v	119	1.4%
r	119	1.4%
G	23	0.3%
o	23	0.3%
Other values (6)	48	0.6%

Months_on_book
Real number (ℝ)

	Train	Test
Distinct	44	44
Distinct (%)	0.5%	2.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	35.92359	35.94768

	Train	Test
Minimum	13	13
Maximum	56	56
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	13	13
5-th percentile	22	22
Q1	31	32
median	36	36
Q3	40	40
95-th percentile	50	49
Maximum	56	56
Range	43	43
Interquartile range (IQR)	9	8

Descriptive statistics

	Train	Test
Standard deviation	8.0243588	7.8347896
Coefficient of variation (CV)	0.22337297	0.2179498
Kurtosis	0.35746635	0.58533273
Mean	35.92359	35.94768
Median Absolute Deviation (MAD)	4	4
Skewness	-0.10943003	-0.093885469
Sum	291017	72830
Variance	64.390334	61.383928
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
36	1950	24.1%
39	276	3.4%
37	276	3.4%
38	274	3.4%
40	269	3.3%
34	267	3.3%
35	256	3.2%
31	255	3.1%
33	250	3.1%
41	243	3.0%
Other values (34)	3785	46.7%

Value	Count	Frequency (%)
36	513	25.3%
34	86	4.2%
37	82	4.0%
38	73	3.6%
30	70	3.5%
39	65	3.2%
40	64	3.2%
31	63	3.1%
43	61	3.0%
42	61	3.0%
Other values (34)	888	43.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	57	0.7%
14	13	0.2%
15	28	0.3%
16	20	0.2%
17	31	0.4%
18	46	0.6%
19	54	0.7%
20	63	0.8%
21	71	0.9%
22	83	1.0%

Value	Count	Frequency (%)
13	13	0.6%
14	3	0.1%
15	6	0.3%
16	9	0.4%
17	8	0.4%
18	12	0.6%
19	9	0.4%
20	11	0.5%
21	12	0.6%
22	22	1.1%

Value	Count	Frequency (%)
13	13	0.2%
14	3	< 0.1%
15	6	0.1%
16	9	0.1%
17	8	0.1%
18	12	0.1%
19	9	0.1%
20	11	0.1%
21	12	0.1%
22	22	0.3%

Value	Count	Frequency (%)
13	57	2.8%
14	13	0.6%
15	28	1.4%
16	20	1.0%
17	31	1.5%
18	46	2.3%
19	54	2.7%
20	63	3.1%
21	71	3.5%
22	83	4.1%

Total_Relationship_Count
Real number (ℝ)

	Train	Test
Distinct	6	6
Distinct (%)	0.1%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	3.8132329	3.8099704

	Train	Test
Minimum	1	1
Maximum	6	6
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	1	1
5-th percentile	1	1
Q1	3	3
median	4	4
Q3	5	5
95-th percentile	6	6
Maximum	6	6
Range	5	5
Interquartile range (IQR)	2	2

Descriptive statistics

	Train	Test
Standard deviation	1.5518377	1.5650249
Coefficient of variation (CV)	0.40696115	0.41077089
Kurtosis	-0.99950613	-1.0317687
Mean	3.8132329	3.8099704
Median Absolute Deviation (MAD)	1	1
Skewness	-0.16312656	-0.15984669
Sum	30891	7719
Variance	2.4082002	2.449303
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	1852	22.9%
4	1539	19.0%
5	1511	18.7%
6	1488	18.4%
2	985	12.2%
1	726	9.0%

Value	Count	Frequency (%)
3	453	22.4%
5	380	18.8%
6	378	18.7%
4	373	18.4%
2	258	12.7%
1	184	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	726	9.0%
2	985	12.2%
3	1852	22.9%
4	1539	19.0%
5	1511	18.7%
6	1488	18.4%

Value	Count	Frequency (%)
1	184	9.1%
2	258	12.7%
3	453	22.4%
4	373	18.4%
5	380	18.8%
6	378	18.7%

Value	Count	Frequency (%)
1	184	2.3%
2	258	3.2%
3	453	5.6%
4	373	4.6%
5	380	4.7%
6	378	4.7%

Value	Count	Frequency (%)
1	726	35.8%
2	985	48.6%
3	1852	91.4%
4	1539	76.0%
5	1511	74.6%
6	1488	73.4%

Months_Inactive_12_mon
Real number (ℝ)

	Train	Test
Distinct	7	7
Distinct (%)	0.1%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	2.3468708	2.3183613

	Train	Test
Minimum	0	0
Maximum	6	6
Zeros	22	7
Zeros (%)	0.3%	0.3%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	0	0
5-th percentile	1	1
Q1	2	2
median	2	2
Q3	3	3
95-th percentile	4	4
Maximum	6	6
Range	6	6
Interquartile range (IQR)	1	1

Descriptive statistics

	Train	Test
Standard deviation	1.0141769	0.99620439
Coefficient of variation (CV)	0.43214006	0.42970196
Kurtosis	1.1291968	0.96048225
Mean	2.3468708	2.3183613
Median Absolute Deviation (MAD)	1	1
Skewness	0.64425849	0.58410244
Sum	19012	4697
Variance	1.0285547	0.99242319
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	3094	38.2%
2	2611	32.2%
1	1780	22.0%
4	346	4.3%
5	144	1.8%
6	104	1.3%
0	22	0.3%

Value	Count	Frequency (%)
3	752	37.1%
2	671	33.1%
1	453	22.4%
4	89	4.4%
5	34	1.7%
6	20	1.0%
0	7	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	0.3%
1	1780	22.0%
2	2611	32.2%
3	3094	38.2%
4	346	4.3%
5	144	1.8%
6	104	1.3%

Value	Count	Frequency (%)
0	7	0.3%
1	453	22.4%
2	671	33.1%
3	752	37.1%
4	89	4.4%
5	34	1.7%
6	20	1.0%

Value	Count	Frequency (%)
0	7	0.1%
1	453	5.6%
2	671	8.3%
3	752	9.3%
4	89	1.1%
5	34	0.4%
6	20	0.2%

Value	Count	Frequency (%)
0	22	1.1%
1	1780	87.9%
2	2611	128.9%
3	3094	152.7%
4	346	17.1%
5	144	7.1%
6	104	5.1%

Contacts_Count_12_mon
Real number (ℝ)

	Train	Test
Distinct	7	7
Distinct (%)	0.1%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	2.4503148	2.4753208

	Train	Test
Minimum	0	0
Maximum	6	6
Zeros	312	87
Zeros (%)	3.9%	4.3%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	0	0
5-th percentile	1	1
Q1	2	2
median	2	3
Q3	3	3
95-th percentile	4	4
Maximum	6	6
Range	6	6
Interquartile range (IQR)	1	1

Descriptive statistics

	Train	Test
Standard deviation	1.1006873	1.1281507
Coefficient of variation (CV)	0.44920241	0.45575938
Kurtosis	0.029614465	-0.10290362
Mean	2.4503148	2.4753208
Median Absolute Deviation (MAD)	1	1
Skewness	0.020659003	-0.027423103
Sum	19850	5015
Variance	1.2115126	1.272724
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	2716	33.5%
2	2596	32.0%
1	1207	14.9%
4	1092	13.5%
0	312	3.9%
5	133	1.6%
6	45	0.6%

Value	Count	Frequency (%)
3	664	32.8%
2	631	31.1%
4	300	14.8%
1	292	14.4%
0	87	4.3%
5	43	2.1%
6	9	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	312	3.9%
1	1207	14.9%
2	2596	32.0%
3	2716	33.5%
4	1092	13.5%
5	133	1.6%
6	45	0.6%

Value	Count	Frequency (%)
0	87	4.3%
1	292	14.4%
2	631	31.1%
3	664	32.8%
4	300	14.8%
5	43	2.1%
6	9	0.4%

Value	Count	Frequency (%)
0	87	1.1%
1	292	3.6%
2	631	7.8%
3	664	8.2%
4	300	3.7%
5	43	0.5%
6	9	0.1%

Value	Count	Frequency (%)
0	312	15.4%
1	1207	59.6%
2	2596	128.1%
3	2716	134.1%
4	1092	53.9%
5	133	6.6%
6	45	2.2%

Credit_Limit
Real number (ℝ)

	Train	Test
Distinct	5325	1632
Distinct (%)	65.7%	80.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	8636.5481	8613.583

	Train	Test
Minimum	1438.3	1438.3
Maximum	34516	34516
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	1438.3	1438.3
5-th percentile	1438.3	1479
Q1	2555	2571.25
median	4549	4563.5
Q3	11128	10707.5
95-th percentile	34058	34516
Maximum	34516	34516
Range	33077.7	33077.7
Interquartile range (IQR)	8573	8136.25

Descriptive statistics

	Train	Test
Standard deviation	9086.4196	9100.4173
Coefficient of variation (CV)	1.0520893	1.0565194
Kurtosis	1.777607	1.9418722
Mean	8636.5481	8613.583
Median Absolute Deviation (MAD)	2597	2589
Skewness	1.6576093	1.7043103
Sum	69964676	17451119
Variance	82563020	82817594
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1438.3	413	5.1%
34516	399	4.9%
9959	15	0.2%
15987	14	0.2%
23981	9	0.1%
6224	8	0.1%
2490	8	0.1%
3735	7	0.1%
7469	6	0.1%
1963	6	0.1%
Other values (5315)	7216	89.1%

Value	Count	Frequency (%)
34516	109	5.4%
1438.3	94	4.6%
15987	4	0.2%
1734	4	0.2%
2214	4	0.2%
7469	4	0.2%
2609	4	0.2%
3735	4	0.2%
2687	3	0.1%
1621	3	0.1%
Other values (1622)	1793	88.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1438.3	413	5.1%
1439	2	< 0.1%
1440	1	< 0.1%
1441	1	< 0.1%
1442	1	< 0.1%
1443	3	< 0.1%
1446	1	< 0.1%
1449	1	< 0.1%
1452	2	< 0.1%
1454	1	< 0.1%

Value	Count	Frequency (%)
1438.3	94	4.6%
1441	1	< 0.1%
1449	1	< 0.1%
1451	2	0.1%
1460	1	< 0.1%
1472	1	< 0.1%
1476	1	< 0.1%
1479	2	0.1%
1486	1	< 0.1%
1488	1	< 0.1%

Value	Count	Frequency (%)
1438.3	94	1.2%
1441	1	< 0.1%
1449	1	< 0.1%
1451	2	< 0.1%
1460	1	< 0.1%
1472	1	< 0.1%
1476	1	< 0.1%
1479	2	< 0.1%
1486	1	< 0.1%
1488	1	< 0.1%

Value	Count	Frequency (%)
1438.3	413	20.4%
1439	2	0.1%
1440	1	< 0.1%
1441	1	< 0.1%
1442	1	< 0.1%
1443	3	0.1%
1446	1	< 0.1%
1449	1	< 0.1%
1452	2	0.1%
1454	1	< 0.1%

Total_Revolving_Bal
Real number (ℝ)

	Train	Test
Distinct	1883	1013
Distinct (%)	23.2%	50.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	1160.3828	1172.5355

	Train	Test
Minimum	0	0
Maximum	2517	2517
Zeros	1986	484
Zeros (%)	24.5%	23.9%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	0	0
5-th percentile	0	0
Q1	326	504.75
median	1273	1290
Q3	1782	1793
95-th percentile	2517	2489.75
Maximum	2517	2517
Range	2517	2517
Interquartile range (IQR)	1456	1288.25

Descriptive statistics

	Train	Test
Standard deviation	815.50429	813.04525
Coefficient of variation (CV)	0.70278903	0.69340777
Kurtosis	-1.1491884	-1.1323805
Mean	1160.3828	1172.5355
Median Absolute Deviation (MAD)	590	594.5
Skewness	-0.1444843	-0.16633995
Sum	9400261	2375557
Variance	665047.25	661042.57
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1986	24.5%
2517	415	5.1%
1965	11	0.1%
1720	11	0.1%
1434	10	0.1%
1176	9	0.1%
1566	9	0.1%
1010	9	0.1%
1384	9	0.1%
1647	9	0.1%
Other values (1873)	5623	69.4%

Value	Count	Frequency (%)
0	484	23.9%
2517	93	4.6%
1513	6	0.3%
1664	5	0.2%
2216	5	0.2%
1173	5	0.2%
845	4	0.2%
2312	4	0.2%
1396	4	0.2%
1580	4	0.2%
Other values (1003)	1412	69.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1986	24.5%
134	1	< 0.1%
145	1	< 0.1%
154	1	< 0.1%
157	1	< 0.1%
159	1	< 0.1%
168	1	< 0.1%
170	1	< 0.1%
186	1	< 0.1%
193	2	< 0.1%

Value	Count	Frequency (%)
0	484	23.9%
132	1	< 0.1%
159	1	< 0.1%
168	1	< 0.1%
191	1	< 0.1%
198	1	< 0.1%
214	1	< 0.1%
232	1	< 0.1%
234	1	< 0.1%
238	1	< 0.1%

Value	Count	Frequency (%)
0	484	6.0%
132	1	< 0.1%
159	1	< 0.1%
168	1	< 0.1%
191	1	< 0.1%
198	1	< 0.1%
214	1	< 0.1%
232	1	< 0.1%
234	1	< 0.1%
238	1	< 0.1%

Value	Count	Frequency (%)
0	1986	98.0%
134	1	< 0.1%
145	1	< 0.1%
154	1	< 0.1%
157	1	< 0.1%
159	1	< 0.1%
168	1	< 0.1%
170	1	< 0.1%
186	1	< 0.1%
193	2	0.1%

Avg_Open_To_Buy
Real number (ℝ)

	Train	Test
Distinct	5757	1763
Distinct (%)	71.1%	87.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	7476.1653	7441.0475

	Train	Test
Minimum	3	14
Maximum	34516	34516
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	3	14
5-th percentile	489	448.8
Q1	1341	1255
median	3495	3375.5
Q3	9942	9720
95-th percentile	32099	32443.5
Maximum	34516	34516
Range	34513	34502
Interquartile range (IQR)	8601	8465

Descriptive statistics

	Train	Test
Standard deviation	9080.2799	9134.3685
Coefficient of variation (CV)	1.2145638	1.2275649
Kurtosis	1.7726129	1.9081585
Mean	7476.1653	7441.0475
Median Absolute Deviation (MAD)	2674	2598.35
Skewness	1.6540051	1.6932383
Sum	60564415	15075562
Variance	82451483	83436688
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1438.3	261	3.2%
34516	81	1.0%
31999	21	0.3%
447	6	0.1%
787	6	0.1%
1129	6	0.1%
953	6	0.1%
990	6	0.1%
837	6	0.1%
933	6	0.1%
Other values (5747)	7696	95.0%

Value	Count	Frequency (%)
1438.3	63	3.1%
34516	17	0.8%
31999	5	0.2%
913	4	0.2%
445	3	0.1%
817	3	0.1%
1045	3	0.1%
2652	3	0.1%
705	3	0.1%
684	3	0.1%
Other values (1753)	1919	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
10	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
24	1	< 0.1%
28	1	< 0.1%
36	1	< 0.1%
39	2	< 0.1%
41	2	< 0.1%
42	1	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
29	1	< 0.1%
48	1	< 0.1%
65	1	< 0.1%
91	1	< 0.1%
106	1	< 0.1%
108	1	< 0.1%
111	1	< 0.1%
117	1	< 0.1%
130	1	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
29	1	< 0.1%
48	1	< 0.1%
65	1	< 0.1%
91	1	< 0.1%
106	1	< 0.1%
108	1	< 0.1%
111	1	< 0.1%
117	1	< 0.1%
130	1	< 0.1%

Value	Count	Frequency (%)
3	1	< 0.1%
10	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
24	1	< 0.1%
28	1	< 0.1%
36	1	< 0.1%
39	2	0.1%
41	2	0.1%
42	1	< 0.1%

Total_Amt_Chng_Q4_Q1
Real number (ℝ)

	Train	Test
Distinct	1089	723
Distinct (%)	13.4%	35.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	0.76080879	0.7564694

	Train	Test
Minimum	0	0
Maximum	2.675	3.397
Zeros	4	1
Zeros (%)	< 0.1%	< 0.1%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	0	0
5-th percentile	0.466	0.45125
Q1	0.632	0.625
median	0.738	0.7325
Q3	0.859	0.85975
95-th percentile	1.106	1.09125
Maximum	2.675	3.397
Range	2.675	3.397
Interquartile range (IQR)	0.227	0.23475

Descriptive statistics

	Train	Test
Standard deviation	0.21666781	0.2291003
Coefficient of variation (CV)	0.28478615	0.30285468
Kurtosis	6.6213016	20.802547
Mean	0.76080879	0.7564694
Median Absolute Deviation (MAD)	0.113	0.1165
Skewness	1.4913244	2.5480062
Sum	6163.312	1532.607
Variance	0.046944938	0.052486945
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.767	28	0.3%
0.718	27	0.3%
0.76	27	0.3%
0.743	27	0.3%
0.725	26	0.3%
0.742	26	0.3%
0.69	26	0.3%
0.722	26	0.3%
0.791	26	0.3%
0.717	26	0.3%
Other values (1079)	7836	96.7%

Value	Count	Frequency (%)
0.73	12	0.6%
0.735	11	0.5%
0.65	10	0.5%
0.691	10	0.5%
0.791	10	0.5%
0.693	9	0.4%
0.81	9	0.4%
0.68	9	0.4%
0.712	9	0.4%
0.644	8	0.4%
Other values (713)	1929	95.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
0.01	1	< 0.1%
0.046	1	< 0.1%
0.061	2	< 0.1%
0.101	1	< 0.1%
0.12	1	< 0.1%
0.153	1	< 0.1%
0.163	1	< 0.1%
0.166	1	< 0.1%
0.175	1	< 0.1%

Value	Count	Frequency (%)
0	1	< 0.1%
0.018	1	< 0.1%
0.072	1	< 0.1%
0.196	1	< 0.1%
0.202	2	0.1%
0.242	1	< 0.1%
0.262	1	< 0.1%
0.279	1	< 0.1%
0.298	1	< 0.1%
0.299	1	< 0.1%

Value	Count	Frequency (%)
0	1	< 0.1%
0.018	1	< 0.1%
0.072	1	< 0.1%
0.196	1	< 0.1%
0.202	2	< 0.1%
0.242	1	< 0.1%
0.262	1	< 0.1%
0.279	1	< 0.1%
0.298	1	< 0.1%
0.299	1	< 0.1%

Value	Count	Frequency (%)
0	4	0.2%
0.01	1	< 0.1%
0.046	1	< 0.1%
0.061	2	0.1%
0.101	1	< 0.1%
0.12	1	< 0.1%
0.153	1	< 0.1%
0.163	1	< 0.1%
0.166	1	< 0.1%
0.175	1	< 0.1%

Total_Trans_Amt
Real number (ℝ)

	Train	Test
Distinct	4462	1702
Distinct (%)	55.1%	84.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	4402.9881	4408.4773

	Train	Test
Minimum	510	530
Maximum	18484	16920
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	510	530
5-th percentile	1284	1282.75
Q1	2160	2147.25
median	3897	3908
Q3	4739	4750.75
95-th percentile	14215	14203.5
Maximum	18484	16920
Range	17974	16390
Interquartile range (IQR)	2579	2603.5

Descriptive statistics

	Train	Test
Standard deviation	3401.7095	3379.5857
Coefficient of variation (CV)	0.77259112	0.76661066
Kurtosis	3.904927	3.8612261
Mean	4402.9881	4408.4773
Median Absolute Deviation (MAD)	1298	1361
Skewness	2.0479515	2.0141073
Sum	35668607	8931575
Variance	11571628	11421599
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4220	9	0.1%
4518	9	0.1%
4498	9	0.1%
4317	8	0.1%
4509	8	0.1%
4869	8	0.1%
4833	8	0.1%
4037	7	0.1%
1409	7	0.1%
4503	7	0.1%
Other values (4452)	8021	99.0%

Value	Count	Frequency (%)
4697	4	0.2%
4253	4	0.2%
4444	4	0.2%
2229	4	0.2%
4531	4	0.2%
4598	4	0.2%
3016	4	0.2%
2461	3	0.1%
4143	3	0.1%
4552	3	0.1%
Other values (1692)	1989	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
510	1	< 0.1%
563	1	< 0.1%
569	1	< 0.1%
594	1	< 0.1%
596	1	< 0.1%
597	1	< 0.1%
602	1	< 0.1%
615	1	< 0.1%
644	1	< 0.1%
647	2	< 0.1%

Value	Count	Frequency (%)
530	1	< 0.1%
643	1	< 0.1%
646	1	< 0.1%
704	1	< 0.1%
741	1	< 0.1%
777	1	< 0.1%
787	1	< 0.1%
791	1	< 0.1%
820	1	< 0.1%
821	1	< 0.1%

Value	Count	Frequency (%)
530	1	< 0.1%
643	1	< 0.1%
646	1	< 0.1%
704	1	< 0.1%
741	1	< 0.1%
777	1	< 0.1%
787	1	< 0.1%
791	1	< 0.1%
820	1	< 0.1%
821	1	< 0.1%

Value	Count	Frequency (%)
510	1	< 0.1%
563	1	< 0.1%
569	1	< 0.1%
594	1	< 0.1%
596	1	< 0.1%
597	1	< 0.1%
602	1	< 0.1%
615	1	< 0.1%
644	1	< 0.1%
647	2	0.1%

Total_Trans_Ct
Real number (ℝ)

	Train	Test
Distinct	126	119
Distinct (%)	1.6%	5.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	64.907789	64.662389

	Train	Test
Minimum	10	10
Maximum	139	131
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	10	10
5-th percentile	28	28
Q1	45	45
median	67	67
Q3	81	80
95-th percentile	105	104.75
Maximum	139	131
Range	129	121
Interquartile range (IQR)	36	35

Descriptive statistics

	Train	Test
Standard deviation	23.556379	23.13914
Coefficient of variation (CV)	0.36292068	0.35784542
Kurtosis	-0.37133836	-0.35031887
Mean	64.907789	64.662389
Median Absolute Deviation (MAD)	17	16
Skewness	0.15361702	0.15304807
Sum	525818	131006
Variance	554.90298	535.41979
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	168	2.1%
82	168	2.1%
81	164	2.0%
74	160	2.0%
75	160	2.0%
76	159	2.0%
69	159	2.0%
70	158	2.0%
73	157	1.9%
71	157	1.9%
Other values (116)	6491	80.1%

Value	Count	Frequency (%)
71	46	2.3%
68	44	2.2%
81	44	2.2%
69	43	2.1%
75	43	2.1%
78	43	2.1%
72	41	2.0%
76	39	1.9%
79	38	1.9%
80	38	1.9%
Other values (109)	1607	79.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	1	< 0.1%
11	2	< 0.1%
12	4	< 0.1%
13	3	< 0.1%
14	8	0.1%
15	15	0.2%
16	9	0.1%
17	12	0.1%
18	21	0.3%
19	10	0.1%

Value	Count	Frequency (%)
10	3	0.1%
13	2	0.1%
14	1	< 0.1%
15	1	< 0.1%
16	4	0.2%
17	1	< 0.1%
18	2	0.1%
19	1	< 0.1%
20	2	0.1%
21	7	0.3%

Value	Count	Frequency (%)
10	3	< 0.1%
13	2	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
16	4	< 0.1%
17	1	< 0.1%
18	2	< 0.1%
19	1	< 0.1%
20	2	< 0.1%
21	7	0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
11	2	0.1%
12	4	0.2%
13	3	0.1%
14	8	0.4%
15	15	0.7%
16	9	0.4%
17	12	0.6%
18	21	1.0%
19	10	0.5%

Total_Ct_Chng_Q4_Q1
Real number (ℝ)

	Train	Test
Distinct	795	558
Distinct (%)	9.8%	27.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	0.71217615	0.71240721

	Train	Test
Minimum	0	0
Maximum	3.714	3.25
Zeros	6	1
Zeros (%)	0.1%	< 0.1%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	0	0
5-th percentile	0.367	0.375
Q1	0.583	0.579
median	0.702	0.702
Q3	0.818	0.818
95-th percentile	1.069	1.068
Maximum	3.714	3.25
Range	3.714	3.25
Interquartile range (IQR)	0.235	0.239

Descriptive statistics

	Train	Test
Standard deviation	0.23932079	0.23314183
Coefficient of variation (CV)	0.33604157	0.32725922
Kurtosis	16.555569	11.833915
Mean	0.71217615	0.71240721
Median Absolute Deviation (MAD)	0.117	0.12
Skewness	2.1268648	1.791876
Sum	5769.339	1443.337
Variance	0.057274443	0.054355113
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.667	141	1.7%
1	128	1.6%
0.75	128	1.6%
0.5	119	1.5%
0.6	95	1.2%
0.8	86	1.1%
0.714	77	1.0%
0.833	75	0.9%
0.778	57	0.7%
0.625	50	0.6%
Other values (785)	7145	88.2%

Value	Count	Frequency (%)
0.5	42	2.1%
1	38	1.9%
0.667	30	1.5%
0.75	28	1.4%
0.6	18	0.9%
0.733	16	0.8%
0.8	15	0.7%
0.714	15	0.7%
0.66	13	0.6%
0.756	13	0.6%
Other values (548)	1798	88.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	0.1%
0.028	1	< 0.1%
0.029	1	< 0.1%
0.038	1	< 0.1%
0.053	1	< 0.1%
0.059	2	< 0.1%
0.062	1	< 0.1%
0.074	1	< 0.1%
0.077	1	< 0.1%
0.091	3	< 0.1%

Value	Count	Frequency (%)
0	1	< 0.1%
0.077	2	0.1%
0.143	1	< 0.1%
0.15	1	< 0.1%
0.161	1	< 0.1%
0.162	1	< 0.1%
0.167	1	< 0.1%
0.171	1	< 0.1%
0.182	1	< 0.1%
0.188	1	< 0.1%

Value	Count	Frequency (%)
0	1	< 0.1%
0.077	2	< 0.1%
0.143	1	< 0.1%
0.15	1	< 0.1%
0.161	1	< 0.1%
0.162	1	< 0.1%
0.167	1	< 0.1%
0.171	1	< 0.1%
0.182	1	< 0.1%
0.188	1	< 0.1%

Value	Count	Frequency (%)
0	6	0.3%
0.028	1	< 0.1%
0.029	1	< 0.1%
0.038	1	< 0.1%
0.053	1	< 0.1%
0.059	2	0.1%
0.062	1	< 0.1%
0.074	1	< 0.1%
0.077	1	< 0.1%
0.091	3	0.1%

Avg_Utilization_Ratio
Real number (ℝ)

	Train	Test
Distinct	943	701
Distinct (%)	11.6%	34.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	0.27318664	0.28171866

	Train	Test
Minimum	0	0
Maximum	0.999	0.992
Zeros	1986	484
Zeros (%)	24.5%	23.9%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	63.4 KiB	16.0 KiB

Quantile statistics

	Train	Test
Minimum	0	0
5-th percentile	0	0
Q1	0.022	0.026
median	0.174	0.184
Q3	0.497	0.521
95-th percentile	0.789	0.8075
Maximum	0.999	0.992
Range	0.999	0.992
Interquartile range (IQR)	0.475	0.495

Descriptive statistics

	Train	Test
Standard deviation	0.27459484	0.27999805
Coefficient of variation (CV)	1.0051547	0.99389246
Kurtosis	-0.77916141	-0.85640731
Mean	0.27318664	0.28171866
Median Absolute Deviation (MAD)	0.174	0.184
Skewness	0.72609436	0.68569338
Sum	2213.085	570.762
Variance	0.075402324	0.078398907
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1986	24.5%
0.073	35	0.4%
0.057	26	0.3%
0.07	25	0.3%
0.048	25	0.3%
0.053	24	0.3%
0.06	24	0.3%
0.069	24	0.3%
0.061	23	0.3%
0.071	22	0.3%
Other values (933)	5887	72.7%

Value	Count	Frequency (%)
0	484	23.9%
0.045	9	0.4%
0.073	9	0.4%
0.056	9	0.4%
0.041	8	0.4%
0.059	8	0.4%
0.057	7	0.3%
0.05	7	0.3%
0.048	7	0.3%
0.093	7	0.3%
Other values (691)	1471	72.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1986	24.5%
0.004	1	< 0.1%
0.006	2	< 0.1%
0.007	1	< 0.1%
0.008	2	< 0.1%
0.009	1	< 0.1%
0.01	1	< 0.1%
0.011	1	< 0.1%
0.012	3	< 0.1%
0.013	2	< 0.1%

Value	Count	Frequency (%)
0	484	23.9%
0.005	1	< 0.1%
0.006	1	< 0.1%
0.012	1	< 0.1%
0.014	1	< 0.1%
0.016	5	0.2%
0.017	1	< 0.1%
0.019	4	0.2%
0.02	1	< 0.1%
0.021	4	0.2%

Value	Count	Frequency (%)
0	484	6.0%
0.005	1	< 0.1%
0.006	1	< 0.1%
0.012	1	< 0.1%
0.014	1	< 0.1%
0.016	5	0.1%
0.017	1	< 0.1%
0.019	4	< 0.1%
0.02	1	< 0.1%
0.021	4	< 0.1%

Value	Count	Frequency (%)
0	1986	98.0%
0.004	1	< 0.1%
0.006	2	0.1%
0.007	1	< 0.1%
0.008	2	0.1%
0.009	1	< 0.1%
0.01	1	< 0.1%
0.011	1	< 0.1%
0.012	3	0.1%
0.013	2	0.1%

Attrition_Flag
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.4 KiB

1	6801
0	1300

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8101
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	6801	84.0%
0	1300	16.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	6801	84.0%
0	1300	16.0%

Most occurring characters

Value	Count	Frequency (%)
1	6801	84.0%
0	1300	16.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8101	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	6801	84.0%
0	1300	16.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8101	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6801	84.0%
0	1300	16.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8101	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	6801	84.0%
0	1300	16.0%

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Auto

Heatmap
Table

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Test

Train

	train_idx	CLIENTNUM	Customer_Age	Dependent_count	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Gender	Education_Level	Marital_Status	Income_Category	Card_Category	Attrition_Flag
train_idx	1.000	0.002	0.002	-0.004	0.015	-0.009	0.003	0.001	-0.006	-0.005	-0.003	0.005	0.014	0.018	0.009	0.002	0.007	0.007	0.000	0.000	0.000	0.000
CLIENTNUM	0.002	1.000	0.017	-0.020	0.111	0.017	-0.009	0.010	0.015	-0.001	0.014	0.028	-0.002	0.005	0.009	0.003	0.000	0.015	0.000	0.000	0.000	0.045
Customer_Age	0.002	0.017	1.000	-0.139	0.773	-0.012	0.039	-0.000	-0.003	0.011	-0.006	-0.077	-0.036	-0.057	-0.032	0.010	0.000	0.024	0.091	0.072	0.024	0.037
Dependent_count	-0.004	-0.020	-0.139	1.000	-0.115	-0.031	0.001	-0.048	0.056	0.003	0.056	-0.028	0.051	0.043	0.001	-0.032	0.009	0.014	0.040	0.044	0.013	0.014
Months_on_book	0.015	0.111	0.773	-0.115	1.000	-0.011	0.058	0.003	0.003	0.010	0.004	-0.063	-0.030	-0.045	-0.032	-0.002	0.000	0.000	0.050	0.048	0.003	0.015
Total_Relationship_Count	-0.009	0.017	-0.012	-0.031	-0.011	1.000	-0.015	0.060	-0.059	0.011	-0.071	0.028	-0.271	-0.220	0.019	0.065	0.020	0.000	0.023	0.013	0.068	0.164
Months_Inactive_12_mon	0.003	-0.009	0.039	0.001	0.058	-0.015	1.000	0.031	-0.033	-0.041	-0.022	-0.026	-0.028	-0.046	-0.051	-0.021	0.020	0.000	0.008	0.018	0.000	0.203
Contacts_Count_12_mon	0.001	0.010	-0.000	-0.048	0.003	0.060	0.031	1.000	0.024	-0.050	0.038	-0.019	-0.176	-0.177	-0.096	-0.068	0.063	0.000	0.000	0.023	0.000	0.246
Credit_Limit	-0.006	0.015	-0.003	0.056	0.003	-0.059	-0.033	0.024	1.000	0.142	0.932	0.015	0.024	0.033	-0.016	-0.411	0.443	0.000	0.030	0.278	0.335	0.038
Total_Revolving_Bal	-0.005	-0.001	0.011	0.003	0.010	0.011	-0.041	-0.050	0.142	1.000	-0.143	0.033	0.024	0.050	0.082	0.705	0.033	0.016	0.010	0.021	0.023	0.403
Avg_Open_To_Buy	-0.003	0.014	-0.006	0.056	0.004	-0.071	-0.022	0.038	0.932	-0.143	1.000	0.002	0.015	0.017	-0.045	-0.681	0.445	0.000	0.030	0.278	0.336	0.024
Total_Amt_Chng_Q4_Q1	0.005	0.028	-0.077	-0.028	-0.063	0.028	-0.026	-0.019	0.015	0.033	0.002	1.000	0.128	0.077	0.291	0.033	0.065	0.017	0.056	0.030	0.012	0.229
Total_Trans_Amt	0.014	-0.002	-0.036	0.051	-0.030	-0.271	-0.028	-0.176	0.024	0.024	0.015	0.128	1.000	0.880	0.228	0.030	0.250	0.007	0.105	0.095	0.159	0.325
Total_Trans_Ct	0.018	0.005	-0.057	0.043	-0.045	-0.220	-0.046	-0.177	0.033	0.050	0.017	0.077	0.880	1.000	0.235	0.050	0.166	0.001	0.100	0.060	0.110	0.464
Total_Ct_Chng_Q4_Q1	0.009	0.009	-0.032	0.001	-0.032	0.019	-0.051	-0.096	-0.016	0.082	-0.045	0.291	0.228	0.235	1.000	0.098	0.048	0.005	0.031	0.024	0.000	0.317
Avg_Utilization_Ratio	0.002	0.003	0.010	-0.032	-0.002	0.065	-0.021	-0.068	-0.411	0.705	-0.681	0.033	0.030	0.050	0.098	1.000	0.279	0.000	0.027	0.165	0.145	0.242
Gender	0.007	0.000	0.000	0.009	0.000	0.020	0.020	0.063	0.443	0.033	0.445	0.065	0.250	0.166	0.048	0.279	1.000	0.018	0.017	0.841	0.081	0.046
Education_Level	0.007	0.015	0.024	0.014	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.017	0.007	0.001	0.005	0.000	0.018	1.000	0.016	0.016	0.020	0.038
Marital_Status	0.000	0.000	0.091	0.040	0.050	0.023	0.008	0.000	0.030	0.010	0.030	0.056	0.105	0.100	0.031	0.027	0.017	0.016	1.000	0.015	0.025	0.000
Income_Category	0.000	0.000	0.072	0.044	0.048	0.013	0.018	0.023	0.278	0.021	0.278	0.030	0.095	0.060	0.024	0.165	0.841	0.016	0.015	1.000	0.053	0.029
Card_Category	0.000	0.000	0.024	0.013	0.003	0.068	0.000	0.000	0.335	0.023	0.336	0.012	0.159	0.110	0.000	0.145	0.081	0.020	0.025	0.053	1.000	0.016
Attrition_Flag	0.000	0.045	0.037	0.014	0.015	0.164	0.203	0.246	0.038	0.403	0.024	0.229	0.325	0.464	0.317	0.242	0.046	0.038	0.000	0.029	0.016	1.000

Test

	CLIENTNUM	Customer_Age	Dependent_count	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Gender	Education_Level	Marital_Status	Income_Category	Card_Category
CLIENTNUM	1.000	0.019	0.058	0.106	0.001	-0.006	0.017	0.011	0.018	0.002	0.007	0.001	0.011	0.044	0.021	0.039	0.008	0.000	0.000	0.000
Customer_Age	0.019	1.000	-0.163	0.752	-0.024	0.068	-0.072	0.023	0.023	0.012	-0.045	-0.049	-0.040	-0.073	0.011	0.000	0.000	0.046	0.080	0.000
Dependent_count	0.058	-0.163	1.000	-0.116	-0.054	-0.048	-0.019	0.028	-0.029	0.048	-0.018	0.085	0.094	0.043	-0.045	0.000	0.000	0.018	0.037	0.006
Months_on_book	0.106	0.752	-0.116	1.000	-0.026	0.056	-0.053	0.023	-0.009	0.025	-0.017	-0.028	-0.013	-0.042	-0.011	0.036	0.012	0.000	0.049	0.020
Total_Relationship_Count	0.001	-0.024	-0.054	-0.026	1.000	0.025	0.066	-0.060	0.014	-0.069	0.016	-0.311	-0.256	0.045	0.068	0.000	0.000	0.028	0.011	0.065
Months_Inactive_12_mon	-0.006	0.068	-0.048	0.056	0.025	1.000	0.027	-0.004	-0.049	0.009	0.007	-0.047	-0.073	-0.030	-0.048	0.000	0.023	0.000	0.029	0.000
Contacts_Count_12_mon	0.017	-0.072	-0.019	-0.053	0.066	0.027	1.000	0.019	-0.023	0.015	-0.029	-0.134	-0.135	-0.083	-0.023	0.066	0.000	0.000	0.012	0.000
Credit_Limit	0.011	0.023	0.028	0.023	-0.060	-0.004	0.019	1.000	0.089	0.931	0.048	0.047	0.038	0.007	-0.439	0.424	0.000	0.044	0.282	0.349
Total_Revolving_Bal	0.018	0.023	-0.029	-0.009	0.014	-0.049	-0.023	0.089	1.000	-0.199	0.050	-0.009	0.001	0.064	0.722	0.000	0.000	0.000	0.032	0.000
Avg_Open_To_Buy	0.002	0.012	0.048	0.025	-0.069	0.009	0.015	0.931	-0.199	1.000	0.026	0.051	0.039	-0.020	-0.704	0.420	0.000	0.030	0.280	0.352
Total_Amt_Chng_Q4_Q1	0.007	-0.045	-0.018	-0.017	0.016	0.007	-0.029	0.048	0.050	0.026	1.000	0.161	0.119	0.346	0.031	0.030	0.000	0.050	0.000	0.000
Total_Trans_Amt	0.001	-0.049	0.085	-0.028	-0.311	-0.047	-0.134	0.047	-0.009	0.051	0.161	1.000	0.880	0.204	-0.021	0.226	0.012	0.106	0.078	0.167
Total_Trans_Ct	0.011	-0.040	0.094	-0.013	-0.256	-0.073	-0.135	0.038	0.001	0.039	0.119	0.880	1.000	0.229	0.001	0.162	0.000	0.078	0.061	0.144
Total_Ct_Chng_Q4_Q1	0.044	-0.073	0.043	-0.042	0.045	-0.030	-0.083	0.007	0.064	-0.020	0.346	0.204	0.229	1.000	0.080	0.064	0.029	0.019	0.000	0.000
Avg_Utilization_Ratio	0.021	0.011	-0.045	-0.011	0.068	-0.048	-0.023	-0.439	0.722	-0.704	0.031	-0.021	0.001	0.080	1.000	0.277	0.000	0.005	0.162	0.151
Gender	0.039	0.000	0.000	0.036	0.000	0.000	0.066	0.424	0.000	0.420	0.030	0.226	0.162	0.064	0.277	1.000	0.000	0.000	0.834	0.098
Education_Level	0.008	0.000	0.000	0.012	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.012	0.000	0.029	0.000	0.000	1.000	0.003	0.000	0.000
Marital_Status	0.000	0.046	0.018	0.000	0.028	0.000	0.000	0.044	0.000	0.030	0.050	0.106	0.078	0.019	0.005	0.000	0.003	1.000	0.000	0.024
Income_Category	0.000	0.080	0.037	0.049	0.011	0.029	0.012	0.282	0.032	0.280	0.000	0.078	0.061	0.000	0.162	0.834	0.000	0.000	1.000	0.075
Card_Category	0.000	0.000	0.006	0.020	0.065	0.000	0.000	0.349	0.000	0.352	0.000	0.167	0.144	0.000	0.151	0.098	0.000	0.024	0.075	1.000

Count
Matrix

Train

A simple visualization of nullity by column.

Test

A simple visualization of nullity by column.

Train

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Test

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

Train

	train_idx	CLIENTNUM	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Attrition_Flag
0	0	713071383	54	F	1	Unknown	Single	Unknown	Blue	36	1	3	3	3723.0	1728	1995.0	0.595	8554	99	0.678	0.464	1
1	1	714246333	58	F	4	High School	Married	Unknown	Blue	48	1	4	3	5396.0	1803	3593.0	0.493	2107	39	0.393	0.334	0
2	2	718206783	45	F	4	Unknown	Single	Less than $40K	Gold	36	6	1	3	15987.0	1648	14339.0	0.732	1436	36	1.250	0.103	1
3	3	721096983	34	F	2	Graduate	Single	Less than $40K	Blue	36	4	3	4	3625.0	2517	1108.0	1.158	2616	46	1.300	0.694	1
4	4	720028683	49	F	2	High School	Married	$40K - $60K	Blue	39	5	3	4	2720.0	1926	794.0	0.602	3806	61	0.794	0.708	1
5	5	778942233	60	F	0	Doctorate	Married	Less than $40K	Blue	45	5	2	4	1438.3	648	790.3	0.477	1267	27	1.077	0.451	1
6	6	708682908	43	F	4	Unknown	Single	Unknown	Blue	28	2	2	1	2838.0	1934	904.0	0.873	8644	87	0.554	0.681	1
7	7	720670458	52	F	2	Unknown	Single	$40K - $60K	Blue	45	3	1	3	3476.0	1560	1916.0	0.894	3496	58	0.871	0.449	1
8	8	719952408	30	M	0	Graduate	Married	Less than $40K	Blue	36	3	3	2	2550.0	1623	927.0	0.650	1870	51	0.275	0.636	1
9	9	708412758	33	F	3	Graduate	Single	Less than $40K	Blue	36	5	2	3	1457.0	0	1457.0	0.677	2200	45	0.364	0.000	0

Test

	CLIENTNUM	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio
0	719455083	48	F	3	Uneducated	Single	Less than $40K	Blue	39	4	3	4	2991.0	1508	1483.0	0.703	3734	64	0.882	0.504
1	773503308	59	M	1	Uneducated	Single	Less than $40K	Blue	53	5	5	4	2192.0	1569	623.0	0.706	4010	79	0.717	0.716
2	715452408	37	F	2	Graduate	Divorced	Less than $40K	Blue	36	4	3	3	1734.0	987	747.0	0.879	4727	67	0.914	0.569
3	711264033	47	M	3	Doctorate	Divorced	$40K - $60K	Blue	36	4	2	3	4786.0	1516	3270.0	0.940	4973	74	0.850	0.317
4	718943508	42	M	3	Unknown	Single	$80K - $120K	Blue	33	3	3	2	3714.0	2170	1544.0	0.524	1454	35	0.522	0.584
5	778247358	65	M	1	Graduate	Single	Less than $40K	Blue	56	5	3	2	7636.0	0	7636.0	0.801	3880	67	0.811	0.000
6	710431158	52	F	3	Unknown	Single	Unknown	Blue	36	3	1	2	10273.0	1657	8616.0	0.710	3778	70	0.591	0.161
7	715252383	58	F	2	High School	Divorced	Unknown	Gold	36	5	4	3	34516.0	1864	32652.0	0.664	3595	52	0.733	0.054
8	717189183	35	M	1	Doctorate	Single	$40K - $60K	Blue	24	6	3	2	10467.0	1961	8506.0	0.713	2665	65	0.667	0.187
9	712050933	48	M	4	College	Married	$80K - $120K	Blue	32	5	2	3	25190.0	0	25190.0	0.467	1533	41	0.323	0.000

Train

	train_idx	CLIENTNUM	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Attrition_Flag
8091	8091	714825408	45	F	3	High School	Single	$40K - $60K	Blue	36	2	3	3	2853.0	2517	336.0	0.595	4971	65	0.757	0.882	1
8092	8092	812465958	53	F	3	Post-Graduate	Divorced	Unknown	Blue	48	5	2	2	12286.0	997	11289.0	0.726	4960	83	0.729	0.081	1
8093	8093	709274583	40	M	2	High School	Married	$120K +	Blue	27	5	3	1	12248.0	1323	10925.0	0.882	4806	91	0.896	0.108	1
8094	8094	708217758	63	M	2	Graduate	Married	$60K - $80K	Blue	49	5	2	3	14035.0	2061	11974.0	2.271	1606	30	1.500	0.147	1
8095	8095	718148358	50	F	3	High School	Married	Less than $40K	Blue	36	2	3	3	1572.0	0	1572.0	0.740	2447	41	0.577	0.000	0
8096	8096	769053033	44	F	1	Graduate	Single	$40K - $60K	Blue	38	3	2	5	4142.0	2517	1625.0	0.809	2104	44	0.833	0.608	0
8097	8097	714406158	53	F	3	High School	Divorced	Unknown	Blue	36	4	3	6	7939.0	0	7939.0	0.551	2269	42	0.312	0.000	0
8098	8098	714140133	42	F	4	Graduate	Unknown	Less than $40K	Blue	32	3	1	2	2314.0	1547	767.0	0.804	4678	74	1.000	0.669	1
8099	8099	720244983	40	M	3	Unknown	Single	$40K - $60K	Blue	28	4	1	1	3563.0	1707	1856.0	0.506	1482	42	0.312	0.479	1
8100	8100	827123883	53	M	4	High School	Single	$60K - $80K	Blue	49	5	1	2	3858.0	0	3858.0	0.670	4472	92	0.614	0.000	1

Test

	CLIENTNUM	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio
2016	771292233	48	F	1	Unknown	Single	Less than $40K	Blue	36	1	1	2	3918.0	813	3105.0	1.149	15867	103	1.060	0.208
2017	715716333	62	F	0	High School	Single	Unknown	Blue	50	6	2	2	18819.0	0	18819.0	0.894	4273	87	0.977	0.000
2018	781675983	59	F	0	Graduate	Married	Less than $40K	Blue	53	4	5	1	3054.0	2517	537.0	1.061	4706	84	0.647	0.824
2019	708253458	59	F	1	Unknown	Single	Unknown	Blue	48	4	2	3	5528.0	1823	3705.0	0.731	4857	81	0.723	0.330
2020	718665033	44	M	5	Doctorate	Single	$60K - $80K	Silver	36	2	3	4	34140.0	0	34140.0	0.877	8177	76	0.520	0.000
2021	814776033	34	M	2	Graduate	Single	$80K - $120K	Blue	29	3	1	3	13395.0	1678	11717.0	1.006	2650	69	0.865	0.125
2022	720444408	35	F	1	College	Single	Less than $40K	Blue	25	2	2	4	2231.0	1791	440.0	0.820	2576	42	0.750	0.803
2023	720503508	44	F	1	Uneducated	Divorced	Less than $40K	Blue	37	1	2	3	5594.0	1235	4359.0	0.549	5220	75	0.829	0.221
2024	721217283	27	M	0	Graduate	Single	$120K +	Blue	17	6	2	2	8713.0	1354	7359.0	0.558	2094	36	0.333	0.155
2025	770920908	39	F	0	Unknown	Single	$40K - $60K	Silver	26	1	1	1	22054.0	1146	20908.0	0.842	8055	82	0.673	0.052

Train

	train_idx	CLIENTNUM	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Attrition_Flag	# duplicates
Dataset does not contain duplicate rows.

Test

	CLIENTNUM	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	# duplicates
Dataset does not contain duplicate rows.

Overview

Variables

Common Values

Length

Common Values (Plot)

Train

Test

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Train

Test

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Train

Test

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Train

Test

Most occurring characters

Most occurring categories

Most frequent character per category

Space Separator

Uppercase Letter

Decimal Number

Currency Symbol

Lowercase Letter

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Train

Test

Most occurring characters